Don't Limit What You Log but Optimize What You Analyze
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Don't Limit What You Log but Optimize What You Analyze
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Learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy. The session will demonstrate:
- Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise
- How stateful pipelines help with the real-time detection of data aberrations.
- Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.
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Learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy. The session will demonstrate:
- Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise
- How stateful pipelines help with the real-time detection of data aberrations.
- Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.
Learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy. The session will demonstrate:
- Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise
- How stateful pipelines help with the real-time detection of data aberrations.
- Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.
Learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy. The session will demonstrate:
- Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise
- How stateful pipelines help with the real-time detection of data aberrations.
- Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.
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